Results from first Anthropic Public Record
…hold AI companies legally liable for harm (47% chose it among their top three) and prioritize safety over growth (44%). Independent watchdogs with real power (29%) and slowing AI development for safety…
Search
Previewing the Model Hardware Standard
…the use of AI in the physical world. We are developing a physical safety roadmap to further bolster our safeguards policy and enforcement coverage against the risk of misuse. When we open…
An update on our election safeguards
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
Core views on AI safety: When, why, what, and how
Announcements Core views on AI safety: When, why, what, and how Mar 8, 2023 We founded Anthropic because we believe the impact of AI might be comparable to that of the industrial…
Frontier model security
…protect them from theft or misuse. In the near term, governments and frontier AI labs must be ready to protect advanced models and model weights, and the research that feeds into them…
Constitutional Classifiers: Defending against universal jailbreaks
…We extend our gratitude to all participants who contributed their time and expertise to this demonstration. Their efforts have provided invaluable data for improving AI safety. Change log *Update 5 February 2025…
Enabling independent research on how people use Claude
…The Social and Language Technologies Lab studied how humans collaborate with AI. They looked at what types of work people bring to AI, what roles humans retain in completing that work, and…
2028: Two scenarios for global AI leadership
…Neck-and-neck competition risks disincentivizing responsible AI A neck-and-neck race between American and Chinese AI labs could make industry and government-led safety and governance efforts more difficult, and…
Introducing Claude Opus 5
…and is the least susceptible to being tricked into misuse. It’s also our safest model yet in terms of avoiding reckless actions that could have hard-to-reverse side effects. Safety…
Agentic misalignment: How LLMs could be insider threats
…Therefore, labs need more extensive alignment and safety evaluations to identify known risks as well as research to uncover risks currently unknown to us. And frontier AI developers like Anthropic should publicly…